Decreasing Demurrage Time by Increasing Port Service Level and Utilities Considering Crane Formation Using Discrete Simulation

Author:

Tama Mahya Indra,Aqsha Bayu Dwi

Abstract

Abstract Maritime logistics has a great influence on large-scale economic development. Maritime logistics has the largest logistics flow in Indonesia. Economic development can be seen by how much logistics flow in an area. The distribution of logistics using sea transportation must be controlled effectively and efficiently so that the flow of material does not stop or be disrupted. Teluk Lamong Terminal is the only green smart terminal in Surabaya, so there are many requests for ships to lean on the pier. The method of this research is to conduct a survey and collect information about the main activities of loading and unloading ships docking at the pier, the number of cranes used, the current crane formation (before improvement) and problems in the operation of containers. After that, create a simulation model that will be developed using Simulation Software that has inputted entities, activities, and model resources according to their actual activities. Scenario results improvements 1 to 4, the selection of crane formations in serving container ship loading and unloading is the most effective in scenario 3, namely by setting 3 cranes to serve 1 berthing ship and 2 cranes to serve 1 berthing ship. In scenario 3 with the simulation results obtained that the ship’s effective time at the dock was 9.19 hours and the demurrage time for container loading and unloading was 13.79 hours. Furthermore, crane utilization value is in scenario 3 with the results obtained from the simulation of 18.21%.

Publisher

IOP Publishing

Subject

General Medicine

Reference11 articles.

1. Truck Scheduling Problem in a Cross-Dock System with Release Time Constraint;Arkat;Journal of Industrial and Systems Engineering,2016

2. Loading Time Flexibility in Cross-Dock Systems;Konur;Procedia Computer Science,2016

3. The application of discrete event simulation and system dynamics in the logistics and supply chain context;Tako;Decision Support Systems,2012

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